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GeoJSON: Numeric Feature Identifiers

The same five towns keyed by numeric ids. RFC 7946 allows an id to be either a string or a number, and code that assumes one type breaks on the other, usually by stringifying 1 into "1" and then failing to match on a later join.

GeospatialJSON parsingMetadata testing
Preview, first 50 linesgeojson
{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "id": 1,
      "properties": {
        "name": "Kestrel Bay",
        "kind": "town",
        "code": "KB"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -12.482,
          47.064
        ]
      }
    },
    {
      "type": "Feature",
      "id": 2,
      "properties": {
        "name": "Marram",
        "kind": "town",
        "code": "MR"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -12.3915,
          47.112
        ]
      }
    },
    {
      "type": "Feature",
      "id": 3,
      "properties": {
        "name": "Holloway",
        "kind": "town",
        "code": "HW"
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -12.551,
          47.018
        ]
      }
… 86 lines total: download for the full file.

Specifications

Format
GeoJSON (RFC 7946)
Crs
WGS 84 (EPSG:4326)
Coordinate Order
longitude, latitude
Encoding
UTF-8
Line Endings
LF
Features
5
Id Type
number
Id Range
1-5
Valid
true

Testing contract

Expected to pass
Scenario
Import the collection and compare identifier types with the string-id twin in this family.
Expected result
Ids come back as the numbers 1-5, not as strings, and joins against numeric keys succeed.

What is a .geojson file?

GeoJSON is a JSON-based format for encoding geographic data structures such as points, lines, and polygons, along with their properties. It uses WGS84 longitude-latitude coordinates and standard feature and feature-collection objects. It is a common interchange format for web mapping and GIS.

How to use this file

Use an example GeoJSON file to test geometry parsing, coordinate handling, and mapping libraries or GIS pipelines that render or analyze spatial features.

How to use this file for testing

“GeoJSON: Numeric Feature Identifiers” is a deterministic Testaroo fixture for Geospatial, JSON parsing, Metadata testing. GeoJSON, GPX, and KML files with points, lines, polygons, and tracks, for testing map tools, route parsers, and geo importers.

Documented properties for this file: UTF-8 · LF · GeoJSON (RFC 7946). Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Geospatial fixtures publish one invented territory across formats, with the coordinate reference system and feature counts documented in specs. Convert or reproject and diff against the twin in the same group; edge-case geometries state exactly which assumption they are built to break.

Code examples

import geopandas as gpd

gdf = gpd.read_file("feature-id-number.geojson")
print(gdf.head())
print(gdf.crs)

Generated by generation/geospatial.py. Free for any use, no attribution required, license.

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